Salt chemistry effects on salinity assessment in the Arkansas River Basin, Colorado
Cardon, G. E. (Grant Edmund)
Cooper, Curtis Allen
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Calibration equations developed in this research, use either depth averaged or depth weighted salt concentrations and/or predicted pore water salt concentrations from Visual Minteq. For example, the current Downstream sub-region calibration equation relating EM readings to soil ECe has an R2 of 0.54 with an root mean square error (RMSE) of 2.16 dS m-1. The equation from this research, using depth weighted Mg concentrations and SAR with Visual Minteq has an R2 of 0.93 with a RMSE of 1.34 dS m-1, and is effective for both the Upstream and Downstream sub-regions. Validation of these equations suggests that predictability is equivalent between the initial sub-region model and the models for the entire region. The inclusion of the chemistry/mineralogy in the calibration equations serves to resolve some of the unevenness of the EMv-ECe calibration, but at the cost of more complex computing and data requirements. However, the inclusion of the chemical data offers an alternate approach not yet utilized in extrapolating the calibration of the EM-38 from a field to a regional scale.
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Toward optimal water management in Colorado's Lower Arkansas River Valley: monitoring and modeling to enhance agriculture and environment Labadie, John W.; Gates, Timothy K.; Garcia, Luisa. (Colorado State University. LibrariesColorado Water Resources Research Institute, 2006)For several years, Colorado State University has been documenting flow and water quality conditions in Colorado’s Lower Arkansas River Valley with the goal of providing data and models that water users and managers can use ...